Prevent Medical Errors through Artificial Intelligence: A Review
Open accessAbstract
Medical errors are a significant concern in healthcare systems worldwide, posing risks to patient safety and quality of care. This narrative review aims to provide a comprehensive overview of medical errors, their types, causes, and potential solutions, based on current literature. The review highlights the importance of addressing medical errors through a multidisciplinary approach, including improved communication, enhanced education and training, the implementation of technology and artificial intelligence, and quality improvement initiatives. It also emphasizes the need for ongoing monitoring and reporting of medical errors to drive change and improve patient outcomes. Artificial intelligence (AI) has emerged as a transformative technology with significant potential to revolutionize healthcare. The application of AI in healthcare has opened up new avenues for improving diagnostics, treatment planning, patient monitoring, and healthcare management.
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AI could be used to analyze system failures and pinpoint improvement opportunities, thus promoting a culture of safety and continuous learning.
“Moreover, AI could be used to analyze system failures and pinpoint improvement opportunities, thus promoting a culture of safety and continuous learning [27].”
From Reimagining Core Entrustable Professional Activities for Undergraduate Medical Education in the Era of Artificial Intelligence (2023) · cites this paper as [27]
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- Authors
- Ahmad, S., & Wasim, S.
- Affiliations
- Era's Lucknow Medical College and Hospital (IN)
- ORCID
- Ahmad, Sharique
- Venue
- Saudi Journal of Medical and Pharmaceutical Sciences
- Publisher
- SASPR Edu International Pvt. Ltd
- Published
- 2023-07-11
- Volume
- 9
- Issue
- 07
- Pages
- 419-423
- ISSN
- 2413-4910 (ISSN-L)
- 2413-4929
- OpenAlex
- W4384131749
- Cited by
- 14
- References
- 19
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 7 · 2023: 1
- FWCI
- 0.18
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Saudi Journal of Medical and Pharmaceutical Sciences (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Keywords
- medical errors, artificial intelligence, patient safety, error prevention, causes of medical errors, multidisciplinary approach, healthcare communication, medical education, quality improvement, error reporting, health technology
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